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The purpose of this study is to develop a novel general mathematical model to find the optimal product mix of commercial graphite products, which has a complex production process with alternative sub-processes in the graphite mining production process.

The network optimization was adopted to model the complex graphite mining production process through the optimal allocation of raw graphite, byproducts, and saleable products with comparable sub-processes, which has different processing capacities and costs. The model was tested on a selected graphite manufacturing company, and the optimal graphite product mix was determined through the selection of the optimal production process. In addition, sensitivity and scenario analyses were carried out to accommodate uncertainties and to facilitate further managerial decisions.

The selected graphite mining company mines approximately 400 metric tons of raw graphite per month to produce ten types of graphite products. According to the optimum solution obtained, the company should produce only six graphite products to maximize its total profit. In addition, the study demonstrated how to reveal optimum managerial decisions based on optimum solutions.

This study has made a significant contribution to the graphite manufacturing industry by modeling the complex graphite mining production process with a network optimization technique that has yet to be addressed at this level of detail. The sensitivity and scenario analyses support for further managerial decisions.

We study the role of having an audit committee (AC) as a signal of firm quality and as a monitoring device of the information quality contained in the listing prospectus.

Ordinary Least Squares regressions are used to examine the association between the presence of an audit committee and (1) the initial return (IR), and (2) the earnings forecast error in the listing prospectus in a sample of 55 Real Estate Investment Trusts that went public on the BME Growth market during 2013–2022. Heckman two-step estimation procedure to correct for endogeneity and bootstrap are used for robustness.

We show that IR and earnings forecasts are significantly affected by the presence of AC. The IR is higher and the earnings forecast included in the prospectus are of higher quality in firms with AC.

Our research provides (1) managers with new tools when deciding on their corporate governance structure in the listing process, (2) specific evidence for regulators on the role played by ACs in the process of going public, which may be useful in the context of the ongoing regulatory changes regarding admission processes in Europe, and (3) society with a sign that AC can enhance investor and public confidence in financial markets and foster a more stable and transparent investment environment.

The adoption of an AC is voluntary in this market, so this discretionary decision provides an exceptional opportunity to conduct such an analysis. Additionally, this issue has not been previously analysed in Europe.

我們擬探討審計委員會在作為是公司質素的一個信號, 以及在作為是監控上市招股書內資料質素的一個機制所扮演的角色。

研究人員使用普通最小二乘法回歸模型, 去探討審計委員會的存在與 (一) 初期回報、和 (二)上市招股書內收益預測的錯誤兩者之間的關聯。研究的樣本為55個於2013年 至 2022年間在 BME Growth 市場上市的不動產投資信託。研究人員使用自助法和可幫助修正內生性問題的赫克曼兩階段回歸, 以達數據的穩健性。

研究結果顯示, 審計委員會的存在會顯著地影響初期回報和收益預測。若公司採用審計委員會, 初期回報則會較高; 而且, 招股書內的收益預測也顯示較高的質素。

由於採用審計委員會與否在這研究的有關市場內純基於自主的決定、而非屬強制性, 因此, 與這決定有關的課題為學者提供了特殊的研究機會。再者, 在歐洲至今似仍未有學者曾嘗試探討這個課題。

本研究帶來以下實務方面的啟示: (一) 當經理需決定其在上市過程中的公司治理結構時, 本研究為他們提供了新的工具給他們使用; (二) 本研究為調控者就公司上市過程中審計委員會所扮演的角色提供具體的證據。而這因歐洲正進行更改與批核上市有關的規管而可能使其產生用處; (三) 本研究為社會提供一個信號, 顯示審計委員會不但可增強投資者和大眾對金融市場的信心, 而且還能培育更穩定和透明的投資環境。

公司治理、審計委員會、上市、初期回報、盈餘預測、不動產

This study aims to determine the ink removal efficiency of papers with different recycling numbers and to examine some electrophotographic printing properties.

The base papers prepared according to the INGEDE 11p standard are subjected to six recycling stages (RS) under equal conditions. The physical-optical properties of the papers obtained at the end of each RS are measured and CMYK (cyan, magenta, yellow, key) color measurement scales are printed on each paper with electrophotographic printing. Color measurements of the printed papers are measured using the X-Rite eXact spectrophotometer, adhering to the ISO 13655:2017 standard. According to the measurement results of the optical properties, the ink removal efficiency of each recycling step is determined as a percentage (%) using some formulas.

As general, according to DEMLab and IERIC data, it is determined that the ink removal efficiency increased as the recycling repetition increased. In DEMf factor values, the highest deinking efficiency is obtained after the fourth RS. There is no significant difference between the printing properties of the samples.

It has been a matter of curiosity that papers lose their properties after how many RS. Many studies have been carried out on this subject and it has been presented by experimental methods that the printability properties of papers increase or decrease after which RS. This study can be a pioneer for future studies.

The main purpose of this paper was to evaluate the validation process of food safety control measures.

The validation of control measures has been analyzed at 50 food companies in Serbia. The sample included companies that produce food of both plant and animal origin and have certified food safety management systems. A total of 156 control measures that combat physical hazards (41.6%), followed by microbial hazards (34.0%) and chemical hazards (24.4%), have been analyzed. To enable quantification of the validation protocols, each control measure was assigned a score.

The validation scores showed that the highest level of validation was observed in large companies, as opposed to small and medium-sized companies (p < 0.05). The type of food safety hazards and the food sector did not reveal any statistical differences in-between the scores. The main approach to validating control measures was referring to the technical documentation of equipment used (52.6%), followed by scientific and legal requirements (30.7%). Less than 20% of the analyzed control measures were validated with operational data collected on-site. No mathematical modeling was observed for the sampled food companies. Future steps should include the development of validation guides for different types of control measures and training modules.

This study can serve as an improvement guide for food safety consultants, food safety auditors, certification bodies, inspection services, food technologists and food managers.

This study is one of the first to provide an insight into how food companies validate their control measures to combat microbial, chemical and physical food safety hazards.

This study aims to investigate the impact of facial-based perceived trustworthiness on stock valuation, particularly, in the initial public offering (IPO). IPO settings provide the opportunity to investigate whether information asymmetry resulting from company newness in the market would influence the incorporation of soft information in the form of executive facial trustworthiness in stock valuation.

We use a recent machine learning algorithm to detect facial landmarks and then calculate a composite facial trustworthiness measure using several facial features that have previously been observed in neuroscience and psychological studies to be the most determining factor of perceived trustworthiness. We then regress the facial trustworthiness of IPO firm executives to IPO underpricing.

Utilizing machine learning algorithms, we find that the facial trustworthiness of the company executive negatively impacts the extent of IPO underpricing. This result implies that investors incorporate the facial trustworthiness of company executives into stock valuation. The IPO underpricing also shows that the cost of equity is higher when perceived trustworthiness is low. With regard to the higher information asymmetry in IPO transactions, such a negative impact implies the role of facial trustworthiness in alleviating information asymmetry.

This study provides evidence of the impact of top management personal characteristics on firms’ financial transactions in the Indonesian context. From the perspective of investors and other fund providers, this study shows evidence that heuristics still play an important role in financial decision-making. This is also an indication of investor reliance on soft information. Our research method also provides a new opportunity for the use of machine-learning algorithms in processing non-conventional types of data in finance research, which is still relatively rare in emerging markets like Indonesia. To the best of our knowledge, our study is the first to use personalized measures of trust generated through machine-learning algorithms in IPO settings in Indonesia.

This study aims to examine the influence of geopolitical risk (GPR) on corporate cash holdings in an emerging market, India. It also investigates whether the effect of GPR on cash holdings varies across financially constrained and unconstrained firms, and across the different sectors.

This study uses the fixed-effect regression model to examine the effect of GPR on the corporate cash holdings of 2090 Indian firms from 2003 to 2021. To correct the potential endogeneity issue and ensure the robustness of the results, this study uses two-stage least squares regression, alternative cash holdings proxies, GPR measures and across the different periods (Global financial crisis and COVID-19).

The paper finds that GPR has a positive impact on the cash holdings of Indian firms. The authors also find that the positive relationship between GPR and cash holdings is consistent for financially constrained and unconstrained firms. Furthermore, the results also show that firms in the construction sector maintain higher cash reserves than other sectors.

To the best of the authors’ knowledge, this study is one of the first-ever studies which examines the effect of GPR on corporate cash holding for an emerging economy like India. The use of alternative measures of cash holding, GPR, and estimation methods make this study more robust.

This study aims to examine the effects of the entry of foreign direct investments (FDIs) on the audit markets in developing countries (i.e. Egypt). There is a long-standing debate on the impact of FDIs on developing markets, but little is still known about the effect of FDI on national suppliers, such as audit firms.

This paper reports the results of a study that used qualitative research methods. It involves interviews with senior management teams of the Big 4 audit firms, to find out how these firms deal simultaneously with conflicting global and local influences. The interviews were complemented by the publicly available data on the firms’ websites as well as published reports related to the Egyptian economy and current investment regulations.

Drawing on the institutional theory, the findings suggest that an increased litigious environment, compliance with developed markets’ regulations, auditor regulatory sanctions and improved local accounting and auditing standards are highly significant consequences of foreign investment inflows. The findings indicate that more emphasis has been given to the quality of audit and auditors’ independence when auditing FDIs. Both audit regulators and audit firms in the domestic market pay higher attention to improving the quality of financial reports when FDIs have entered the market. More inspections and reviews for audit firms have been conducted, and local auditing and accounting standards have been revised to be in compliance with international standards.

Our results have important implications for investors, regulatory authorities and governments in relation to the development, implementation and enforcement of international financial reporting and auditing standards.

Policymakers and regulators in Egypt have responded to international pressure by revitalizing their local accounting and auditing standards and adopting international financial reporting and auditing standards. The authors identify strategies that have been adopted by audit firms to face the FDIs’ challenges.

This study aimed at exploring the differential effects of different corporate governance (CG) indicators on risk management practices in Islamic financial institutions (IFIs) and conventional financial institutions (CFIs) of Pakistan. It also investigated the moderating role of institutional quality (IQ) in shaping the effects of CG practices on financial institutions of Pakistan.

A sample of 57 financial institutions including commercial banks, insurance companies and Modarba companies over the period 2006–2017 is used to carry out the empirical analysis. The authors applied the robust two-step system-generalized method of moments estimator, which is also called the dynamic panel data estimator. They also built the PCA-based composite index of CG and IQ by using different indicators to investigate the moderating role of IQ. They used three proxies for risk taking, five for CG and one for Shari’ah governance. To test the validity of the instruments, they applied the Arellano and Bond’s (1991) AR (1) and AR (2) tests and the J-statistic of Hansen (1982).

The results provided strong evidence that several individual characteristics of CG and the composite index are significantly related to the operational risk, the liquidity risk and the Z-score (a proxy for solvency risk). The results also revealed that IQ significantly and substantially contributes in reducing the level of risks. Finally, the estimation results indicated that the effects of CG on risk management are significantly different at IFIs and CFIs. This differential impact is mainly attributed to the fundamental differences in business models, operational strategies and contractual obligations of both types of institutions.

The findings of this study are important for enhancing our understanding of how CG relates to risk taking in Islamic and conventional financial services industries and how good quality institutions are important for formulating the governance effects on the risk-taking behavior of financial institutions. The findings suggest that a suitable size of board should be chosen to manage the risk effectively. As the findings show that the risk-taking behavior of IFIs differs from that of CFIs, the regulators and international standard setting bodies should tailor the regulatory frameworks accordingly.

This paper is different from the existing studies in four aspects. First, to the best of the authors’ knowledge, this is the first empirical investigation in Pakistan, which does the comparison of IFIs and CFIs while examining the impacts of CG on risk management. Second, the paper constructs the composite index of CG by considering several different indicators of governance and examines the combined effect of governance indicators on risk management process. Third, this paper adds to the growing literature on the role of IQ by investigating whether it acts as a moderator between CG structures and risk management and if yes, then whether this moderating role is different for IFIs and CFIs. Finally, the paper builds upon the existing research work on the CG effects for different types of financial institutions by proposing a single regression based analytical framework for comparing the effects across two different types of institutions, harvesting the benefits of higher degrees of freedom and avoiding/minimizing the measurement error.

This paper aims to conduct a comparative analysis of the impact of market uncertainty on the degree of accuracy and bias of analysts' earnings forecasts versus four model-based earnings forecasts.

The study employs panel regression analysis on a sample of Egyptian listed companies from 2005 to 2022 to examine the impact of market uncertainty on the accuracy and bias of each type of earnings forecast.

The empirical analysis reveals that market uncertainty significantly affects analysts’ earnings forecast accuracy and bias, while model-based earnings forecasts are less affected. Furthermore, the Earnings Persistence and Residual Income model-based earnings were found to be superior in terms of exhibiting the least susceptibility to the impact of market uncertainty on their forecast accuracy and biasness levels, respectively.

The findings have important implications for stakeholders within the financial realm, including investors, financial analysts, corporate executives and portfolio managers. They emphasize the importance of considering market uncertainty when formulating earnings forecasts, while concurrently highlighting the potential benefits of using alternative forecasting methods.

To our knowledge, the influence of market uncertainty on analysts' earnings forecast accuracy and bias in the MENA region, particularly in the Egyptian market, remains unexplored in existing research. Additionally, this paper contributes to the existing literature by pinpointing the forecasting method, specifically distinguishing between analysts-based and model-based approaches, whose predictive quality is less adversely impacted by market uncertainty in an emerging market.